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| 02235nam 2200313za 4500 |
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001 | 9.835471 |
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003 | CaOODSP |
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005 | 20221107150654 |
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007 | cr ||||||||||| |
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008 | 170420s2017 oncad ob f000 0 eng d |
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040 | |aCaOODSP|beng |
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043 | |an-cn-mb |
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086 | 1 |aM103-3/31-2017E-PDF |
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100 | 1 |aLi, J.|q(Junhua),|d1970- |
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245 | 10|aMapping water bodies using SAR imagery – an application over the Spiritwood valley aquifer, Manitoba |h[electronic resource] / |cJ. Li and S. Wang. |
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260 | |a[Ottawa] : |bNatural Resources Canada, |c2017. |
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300 | |a13 p. : |bcharts, col. ill. |
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490 | 1 |aOpen file ; |v31 |
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504 | |aIncludes bibliographical references. |
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520 | |a"The inland water bodies play a critical role in water resources and social economic. However they are under increasing pressure and big changes from increasing human activities and changing climate. To better understand the aquatic ecosystem dynamics and effectively manage the inland water bodies, it is essential to have up-to-date information of their variability. SAR, unlike optical sensors, can observe the earth's surface in all weather conditions day and night. SAR imagery is an effective method for mapping water bodies. This open file details the algorithms and their implementations for a novel method for mapping water bodies using SAR imageries. This method is completely automatic and less computational intensive, thus suitable for large scale applications. A test of this method over the Spritiwood valley in Manitoba using Radarsat-2/SAR data shows a high accuracy in mapping water bodies. This study provides a tool for mapping national scale inland water bodies and monitoring their dynamic changes in a near-real time environment”--Summary provided by publisher. |
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692 | 07|2gccst|aGeophysics |
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692 | 07|2gccst|aInland waters |
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692 | 07|2gccst|aRemote sensing |
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692 | 07|2gccst|aSatellite imagery |
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700 | 1 |aWang, Shusen,|d1965- |
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710 | 1 |aCanada. |bNatural Resources Canada. |
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710 | 2 |aGeomatics Canada. |
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830 | #0|aOpen file (Geomatics Canada)|v31.|w(CaOODSP)9.821474 |
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856 | 40|qPDF|s1.04 MB|uhttps://publications.gc.ca/collections/collection_2017/rncan-nrcan/M103-3/M103-3-31-2017-eng.pdf |
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